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Quantitative Technique

In this eLearning module on Quantitative Technique, we will look at the time value of money, Calculating Future value, and Calculating Present value, Calculating Mean, Calculating Median, Calculating Mode, Correlation, Regression, Skewness and Kurtosis, Probability Distribution.

 

Coverage and structure for eLearning module

 

Topic

Sub-topic

Introduction
  • Data Analysis
  • Data Analytics in Wealth Management
  • Basic Concepts

Time Value of Money
  • Overview of Time Value of Money
  • Calculating Simple Interest
  • Calculating Compound Interest
  • Future Value
  • Future Value of Annuities
  • Present Value
  • Present Value of Annuities

Central Tendency
  • What is Central tendency of data?
  • Mean
  • Median
  • Mode

Dispersion, Skewness and Kurtosis
  • Measures of Dispersion
  • Range
  • Variance
  • Standard Deviation
  • Calculate Variance and Standard Deviation
  • Chebyshev’s Inequality Theorem
  • Co-efficient of Variation
  • Covariance
  • Correlation
  • Regression
  • Skewness
  • Measuring Skewness
  • Kurtosis

Probability Distribution
  • What is Probability
  • Overview of Probability Distribution
  • Discrete and Continuous Random Variable
  • Probability Distribution Function for Continuous Random Variables
  • Types of Probability Distributions
  • Standard Normal Distribution

 

 

Module Fees: Rs. 2500/-                                  Access period: 3 months                                 Learning time: 3 hours

 

 

Steps to purchase

 

  • Go to CRISIL Learning platform https://training.crisil.com/
  • On https://training.crisil.com/ (CRISIL Learning platform) – sign up to create your unique login ID and password
  • Once your account is set up, search for "Quantitative Technique" from the search bar
  • Select the e-learning module - Quantitative Technique, and click on buy now; it will get added to your cart
  • Click on 'Cart' and purchase the module(s) with your debit or credit card
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Final assessment questions & gamification at the end of the module to ensure learning objectives are met